Early diagnosis of Parkinson’s disease from multiple voice recordings by simultaneous sample and feature selection

• Published in: Expert systems with applications Vol. 137; pp. 22 - 28
• Main Authors: Ali, Liaqat, Zhu, Ce, Zhou, Mingyi, Liu, Yipeng
• Format: Journal Article
• Language: English
• Published: New York Elsevier Ltd 15.12.2019; Elsevier BV
• Subjects: Deep neural network; Feature selection; Hyper-parameters optimization; Parkinson's disease; Sample selection; Statistical methods; Statistical models; Statistical tests; Voice; Parkinson’S disease; Deep neural network; Feature selection; Sample selection; Hyper-parameters optimization

•We validate the hypothesis that multiple samples per subject might degrade the accuracy.•To enhance the accuracy, two dimensional data selection approach has been proposed.•The proposed method selects samples and features simultaneously, and outperforms the existing methods. Parkinson’s disease (PD...